“However, following the introduction of machine learning, we were extraordinarily impressed to see just how much further RELEX’s algorithms could improve our forecast accuracy and stability—improvements critical to our ability to manage the complexity specific to our industry and business model.”

“We spent a lot of time adjusting the main replenishment days. It worked, and the results were clear, but the approach was very time-consuming and the results still not optimal. We were thrilled about the opportunity to develop AI-based optimization of main replenishment days in collaboration with RELEX.”

“One of the best aspects of working with RELEX has been their willingness to think creatively, take the time to understand what we’re trying to do, and work as a team, utilizing experience from across their organization to figure out solutions.”

“With RELEX, we’re able to demonstrate the effectiveness of our promotions. This has proved essential for securing funding for future campaigns that serve us, our suppliers, and most importantly, our customers. In fact, we’ve covered the cost of the RELEX solution alone through the last 2 supplier deals we’ve negotiated!”

“The reason we chose RELEX was it gave the analysts a lot of insight into their business in one place. It was easy to navigate, easy to train. I think they were all very excited when we started rolling out some of the categories. Word started spreading around the floor …

“The centralised ordering of fresh produce will also help to reduce waste on our existing range and minimise waste on new ranges, which is important to us as Coles aims to become Australia’s most sustainable supermarket.”

"RELEX is a modern, automated, cloud- based replenishment solution provider to a number of leading grocers across Europe and the U.S. It represents a best- in-class technology solution that will deliver another major component of our technology-led strategy."

"The final decision was made much easier by the fact that RELEX’s comprehensive and logically phased service package enabled us to move forward one step at a time."

“We have been very impressed with RELEX workload forecasts’ accuracy – it is over 90% for both 4 weeks and 26 weeks planning horizons which enables us to plan our resources optimally for both short and long term. We have seen some major changes in our customer behavior, but RELEX …

“Empik is one of the leaders in Polish digital transformation, driving innovation for over 75 years. We are looking forward to embarking on our strategy to shift away from legacy systems and manual approaches towards a sophisticated, AI-driven retail planning solution. This transition is crucial for upholding our commitment to …

“We needed a solution that could be seamlessly implemented across our organization while supporting our long-term growth. We are confident that RELEX, with its AI/ML capabilities, will enable us to forecast across all channels with the highest level of accuracy while driving supply chain efficiency.”

“This automation has boosted our efficiency and significantly reduced food waste through more accurate and systematic ordering. Also, the ability to configure RELEX ourselves has been essential, enabling us to customize the system to our specific requirements without needing extensive coding knowledge.”

“RELEX offers us the ability to innovate through advanced AI capabilities and provides the flexibility we need to address the specific complexities of our supply chain,. Demand can fluctuate based on market trends and consumer preferences, making it difficult to predict and plan inventory levels accurately."

“We wanted to ensure a superior customer experience by maintaining stable on-shelf availability, We found RELEX use of AI and machine learning offers us just that.”

“At the start, our main goal with RELEX was to close the functional gaps in the ERP system. Of course, we knew the potential of RELEX, but we needed to deliver working end-to-end planning processes in all locations as quickly as possible. For Germany, this meant implementing the RELEX Demand …